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vtk三维重建tif文件格式 用了光线投射类 性能控制类 颜色转换类 等 体绘制器-vtk 3D reconstruction tif file format used raycasting Class Performance category control color conversion type devices such as Volume Rendering
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用VC和VTK实现，对于三维重建后头颅模型进行虚拟切割，三维重建采用体绘制技术，程序实现了任意的平面切割-VTK with VC and the realization of three-dimensional reconstruction of the skull model after virtual cutting, three-dimensional reconstruction using volume rendering techniques, and procedures to a
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HRS Reconstruction System This program build 3D model of object from range images. Program use modified volume reconstruction method for creating a model. In this method I replace difficult calculations on CPU with simple rendering on video card. -HR
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关于CT断层图像三维重建中体绘制技术研究与应用的毕业论文-About three-dimensional reconstruction of CT images in volume rendering technology research and application of the thesis
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本程序是有关vc++与vtk相结合的情况下，三维重建的效果，其中增加的对感兴趣区域的选取功能，也就是说在三维重建体绘制情况下，自己选取感兴趣区域。-This procedure is related to vc++ and vtk combination of circumstances, the effect of three-dimensional reconstruction, in which the increase in the selection of the functional
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volume reconstruction
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This volume, in the ITECH Vision Systems series of books, reports recent advances in the
use of pattern recognition techniques for computer and robot vision. The sciences of pattern
recognition and computational vision have been inextricably inte
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数字影像重建在基于灰度的2D／3D医学图像配准技术中具有重要作用。它是利用基于射线追踪算法从三维数据如CT中获得二维虚拟x线图像。影像重建结果的质量直接影响到配准结果的精度。本文对数字影像重建技术作了一定的探讨，实现了对cT体数据的数字影像重建，并通过增强技术获得了突出骨组织的图像，为后续的配准研究做了很好的准备工作。-Digital image reconstruction in intensity based 2D/3D medical image registration techniqu
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该上传的256张CT图片是高质量的DICOME格式人类头骨的连续序列切片图，可直接用于医学三维重建或体绘制。-The upload of 256 CT images are of high quality DICOME form a continuous sequence of the human skull slice diagram can be directly used in medical 3D reconstruction or volume rendering.
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基于VTK的三维模型重建，将ct图片序列经过一定的算法完成体绘制-Three-dimensional model reconstruction based on VTK, the ct picture sequence after the completion of a certain volume rendering algorithm
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医学图象处理及其三维重建是目前研究的热点问题，它涉及计算机图形学、数字图像处理计算机视觉、以及人机交互技术。
医学图像预处理与三维重建是可视化技术的核心环节，二者直接关系着三维可视化的效果和速度。本文介绍了灰度变换噪声消除以及
伪彩色编码等图像预处理技术。然后着重探讨了三维重建技术中的体绘制和面绘制算法以及这两种算法的优点和不足。最后总结了网格消减算法，并利用它对MC算法进行表面网格简化。
-Medical processing and 3D reconstruction is a
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医学图像三维重建，里面用到面绘制和体绘制，在VC6.0下运行，VTK5.4.2-Medical image reconstruction, which uses surface rendering and volume rendering, run in VC6.0, VTK5.4.2
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Essentially non-oscillatory (ENO) and Weighted ENO (WENO) are finite difference or finite volume schemes. The first ENO scheme is constructed by Harten et. al. in 1987. The first WENO scheme is constructed in 1994 by Liu,Osher and Chan for a third or
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针对视频序列的超分辨率重建,提出了一种动态自适应滤波方法. 在最大后验概率估计和加权最小二乘
的基础上,给出视频序列超分辨率重建数学模型 深入研究了运动补偿矩阵和权值矩阵的构成和性质 详细推导了
自适应滤波器的递推公式 分析了算法的存储与计算复杂度. 仿真实验表明该算法的重建结果相当有效,相比双三
次插值和无运动补偿的单帧迭代重建,可以获得一定的PSNR 增益 与Elad 滤波方法相比,具有更小的计算量和
更强的自适应性和鲁棒性.-Super-resolution for th
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光线投射算法 三维重建体绘制比较典型算法之一（源码）-Ray casting volume rendering algorithm for three-dimensional reconstruction of typical algorithms (source)
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使用vtk来显示体绘制结果，并用界面的形式显示肿瘤重建的三个方向的每一个切片信息，可以自己拖动进行比较灵活的显示，输入是一系列的切片-Using VTK to display the volume rendering results, and use the interface display in the form of tumor reconstruction in a three direction of each section information, can drag were co
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本程序是有关Visual C++与vtk相结合的情况下，三维重建的效果，中增加的对感兴趣区域的选取功能，也就是说在三维重建体绘制情况下，自己选取感兴趣区域-This program is a Visual C vtk combination of circumstances, the effect of three-dimensional reconstruction, the increase in the region of interest selection function, whic
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基于CT数据的三维重构。提出采用VTK库进行医学数据的可视化。论文中重点研究了表面绘制和体绘制两种绘制方法。表面绘制采用移动立方体算法（Marching Cubes）实现，体绘制则用光线投射算法（Ray-casting）实现，并且通过比较两种算法的结果讨论了他们的特点。-Based on the three-dimensional reconstruction of CT data.Proposed using the VTK library of medical data visualizat
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PARALLEL-BEAM TOMOGRAPHIC IMAGE RECONSTRUCTION
This projects reproduces results of procedures regarding CT Image Reconstruction. The application will applied to computed tomography single photon emission (SPECT) data . In particular, the following
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mri重建时消除部分体积伪影，利用cross-sectional、ZEF、VEF等滤波(In the MRI reconstruction, some K spatial data are accelerated and cross-sectional filtering is used)
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